Characterizing the genetic basis of methylome diversity in histologically normal human lung tissue
The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitative trait loci (meQTL) analyses. We report 34,304 cis - and 585 trans -meQTLs, a genetic–epigenetic interaction of...
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Published in | Nature communications Vol. 5; no. 1; p. 3365 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
27.02.2014
Nature Publishing Group |
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Abstract | The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitative trait loci (meQTL) analyses. We report 34,304
cis
- and 585
trans
-meQTLs, a genetic–epigenetic interaction of surprising magnitude, including a regulatory hotspot. These findings are replicated in both breast and kidney tissues and show distinct patterns:
cis
-meQTLs mostly localize to CpG sites outside of genes, promoters and CpG islands (CGIs), while
trans
-meQTLs are over-represented in promoter CGIs. meQTL SNPs are enriched in CTCF-binding sites, DNaseI hypersensitivity regions and histone marks. Importantly, four of the five established lung cancer risk loci in European ancestry are
cis-
meQTLs and, in aggregate,
cis
-meQTLs are enriched for lung cancer risk in a genome-wide analysis of 11,587 subjects. Thus, inherited genetic variation may affect lung carcinogenesis by regulating the human methylome.
The effects of genetic variation on DNA methylation patterns are poorly understood. Here, Shi
et al.
systematically map methylation-quantitative trait loci in lung, breast and kidney tissue to reveal the impact of inherited variation on the human methylome, which also affects cancer risk. |
---|---|
AbstractList | The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitative trait loci (meQTL) analyses. We report 34,304 cis- and 585 trans-meQTLs, a genetic-epigenetic interaction of surprising magnitude, including a regulatory hotspot. These findings are replicated in both breast and kidney tissues and show distinct patterns: cis-meQTLs mostly localize to CpG sites outside of genes, promoters and CpG islands (CGIs), while trans-meQTLs are over-represented in promoter CGIs. meQTL SNPs are enriched in CTCF-binding sites, DNaseI hypersensitivity regions and histone marks. Importantly, four of the five established lung cancer risk loci in European ancestry are cis-meQTLs and, in aggregate, cis-meQTLs are enriched for lung cancer risk in a genome-wide analysis of 11,587 subjects. Thus, inherited genetic variation may affect lung carcinogenesis by regulating the human methylome.The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitative trait loci (meQTL) analyses. We report 34,304 cis- and 585 trans-meQTLs, a genetic-epigenetic interaction of surprising magnitude, including a regulatory hotspot. These findings are replicated in both breast and kidney tissues and show distinct patterns: cis-meQTLs mostly localize to CpG sites outside of genes, promoters and CpG islands (CGIs), while trans-meQTLs are over-represented in promoter CGIs. meQTL SNPs are enriched in CTCF-binding sites, DNaseI hypersensitivity regions and histone marks. Importantly, four of the five established lung cancer risk loci in European ancestry are cis-meQTLs and, in aggregate, cis-meQTLs are enriched for lung cancer risk in a genome-wide analysis of 11,587 subjects. Thus, inherited genetic variation may affect lung carcinogenesis by regulating the human methylome. The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitative trait loci (meQTL) analyses. We report 34,304 cis- and 585 trans-meQTLs, a genetic-epigenetic interaction of surprising magnitude, including a regulatory hotspot. These findings are replicated in both breast and kidney tissues and show distinct patterns: cis-meQTLs mostly localize to CpG sites outside of genes, promoters and CpG islands (CGIs), while trans-meQTLs are over-represented in promoter CGIs. meQTL SNPs are enriched in CTCF-binding sites, DNaseI hypersensitivity regions and histone marks. Importantly, four of the five established lung cancer risk loci in European ancestry are cis-meQTLs and, in aggregate, cis-meQTLs are enriched for lung cancer risk in a genome-wide analysis of 11,587 subjects. Thus, inherited genetic variation may affect lung carcinogenesis by regulating the human methylome. The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitative trait loci (meQTL) analyses. We report 34,304 cis - and 585 trans -meQTLs, a genetic-epigenetic interaction of surprising magnitude, including a regulatory hotspot. These findings are replicated in both breast and kidney tissues and show distinct patterns: cis -meQTLs mostly localize to CpG sites outside of genes, promoters, and CpG islands (CGIs), while trans -meQTLs are over-represented in promoter CGIs. meQTL SNPs are enriched in CTCF binding sites, DNaseI hypersensitivity regions and histone marks. Importantly, 4 of the 5 established lung cancer risk loci in European ancestry are cis- meQTLs and, in aggregate, cis -meQTLs are enriched for lung cancer risk in a genome-wide analysis of 11,587 subjects. Thus, inherited genetic variation may affect lung carcinogenesis by regulating the human methylome. The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitative trait loci (meQTL) analyses. We report 34,304 cis - and 585 trans -meQTLs, a genetic–epigenetic interaction of surprising magnitude, including a regulatory hotspot. These findings are replicated in both breast and kidney tissues and show distinct patterns: cis -meQTLs mostly localize to CpG sites outside of genes, promoters and CpG islands (CGIs), while trans -meQTLs are over-represented in promoter CGIs. meQTL SNPs are enriched in CTCF-binding sites, DNaseI hypersensitivity regions and histone marks. Importantly, four of the five established lung cancer risk loci in European ancestry are cis- meQTLs and, in aggregate, cis -meQTLs are enriched for lung cancer risk in a genome-wide analysis of 11,587 subjects. Thus, inherited genetic variation may affect lung carcinogenesis by regulating the human methylome. The effects of genetic variation on DNA methylation patterns are poorly understood. Here, Shi et al. systematically map methylation-quantitative trait loci in lung, breast and kidney tissue to reveal the impact of inherited variation on the human methylome, which also affects cancer risk. |
ArticleNumber | 3365 |
Author | Zhou, Beiyun Duan, Jubao Zhou, Weiyin Pesatori, Angela C. Shi, Jianxin Wheeler, William Chen, Po-Han Laird-Offringa, Ite A. Hyland, Paula L. Chanock, Stephen J. Bertazzi, Pier Alberto Hutchinson, Amy Consonni, Dario Li, Peng Berman, Benjamin P. Tucker, Margaret A. Chung, Brian S. I. Borok, Zea Freedman, Mathew Campan, Mihaela Amundadottir, Laufey Lee, Diane S. Triche, Tim Landi, Maria Teresa Warner, Andrew Siegmund, Kimberly D. Caporaso, Neil E. Chatterjee, Nilanjan Huang, Jing Marconett, Crystal N. Wang, Zhaoming Bergen, Andrew W. |
AuthorAffiliation | 8 Bioinformatics Division, Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA 7 Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, NIH, DHHS, Bethesda, MD 20892, USA 10 Unit of Epidemiology, IRCCS Fondazione Ca’ Granda Ospedale Maggiore Policlinico and Department of Clinical Sciences and Community Health, University of Milan, Milan, 20122, Italy 3 Department of Biochemistry and Molecular Biology, USC/Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA 90089, USA 9 Pathology/Histotechnology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, 21702, USA 13 Department of Medical Oncology, The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215 4 Center for Psychiatric Genetics, Department of Psychiatry and Behavioral Sciences, North Shore University Health System Research Ins |
AuthorAffiliation_xml | – name: 2 Department of Surgery, USC/Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA 90089, USA – name: 13 Department of Medical Oncology, The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215 – name: 10 Unit of Epidemiology, IRCCS Fondazione Ca’ Granda Ospedale Maggiore Policlinico and Department of Clinical Sciences and Community Health, University of Milan, Milan, 20122, Italy – name: 4 Center for Psychiatric Genetics, Department of Psychiatry and Behavioral Sciences, North Shore University Health System Research Institute, University of Chicago Pritzker School of Medicine, Evanston, IL 60201, USA – name: 8 Bioinformatics Division, Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA – name: 9 Pathology/Histotechnology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, 21702, USA – name: 11 Molecular Genetics Program, Center for Health Sciences, SRI, Menlo Park, CA 94025, USA – name: 12 Program in Medical and Population Genetics, The Broad Institute, Cambridge, MA 02142, USA – name: 1 Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD 20892, USA – name: 14 USC Epigenome Center and USC/Norris Comprehensive Cancer Center, Los Angeles, CA 90089, USA – name: 5 Information Management Services, Inc., Rockville, MD 20852, USA – name: 6 Will Rogers Institute Pulmonary Research Center and Division of Pulmonary, Critical Care and Sleep Medicine, USC Keck School of Medicine, Los Angeles, CA 90089, USA – name: 7 Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, NIH, DHHS, Bethesda, MD 20892, USA – name: 3 Department of Biochemistry and Molecular Biology, USC/Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA 90089, USA |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24572595$$D View this record in MEDLINE/PubMed |
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ContentType | Journal Article |
Copyright | Springer Nature Limited 2014 Copyright Nature Publishing Group Feb 2014 |
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DOI | 10.1038/ncomms4365 |
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Snippet | The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung... |
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SubjectTerms | 631/208/2489/2487/2486 631/208/726/649 631/67/1612 Breast - metabolism Carcinogenesis CpG Islands - genetics DNA Methylation Epistasis, Genetic Gene mapping Genetic diversity Genetic Predisposition to Disease - ethnology Genetic Predisposition to Disease - genetics Genetic variance Genetic Variation Genome-Wide Association Study Genotype Health risks Humanities and Social Sciences Humans Hypersensitivity Kidney - metabolism Lung - metabolism Lung cancer Lung Neoplasms - ethnology Lung Neoplasms - genetics multidisciplinary Polymorphism, Single Nucleotide Promoter Regions, Genetic - genetics Quantitative Trait Loci - genetics Risk Factors Science Science (multidisciplinary) White People - genetics |
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Title | Characterizing the genetic basis of methylome diversity in histologically normal human lung tissue |
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